Literature DB >> 30659427

Comparison among TIRADS (ACR TI-RADS and KWAK- TI-RADS) and 2015 ATA Guidelines in the diagnostic efficiency of thyroid nodules.

Luying Gao1, Xuehua Xi1, Yuxin Jiang1, Xiao Yang1, Ying Wang1, Shenling Zhu1, Xingjian Lai1, Xiaoyan Zhang1, Ruina Zhao1, Bo Zhang2.   

Abstract

PURPOSE: To compare the value of Thyroid Imaging Reporting and Data Systems proposed by Kwak (KWAK-TIRADS) and ACR (ACR TI-RADS) and 2015 American Thyroid Association (ATA) guidelines in the diagnosis of surgically resected thyroid nodules.
METHODS: From January 2015 to December 2015, 2544 thyroid nodules in 1758 patients who underwent thyroidectomy at our center were included. The KWAK-TIRADS category, ACR TI-RADS and ultrasound (US) pattern based on ATA guidelines were assigned to each thyroid nodule. Nodules were divided into groups according to their maximal diameter further.
RESULTS: Of all the nodules, 863 (33.9%) were benign, whereas 1681 (66.1%) were malignant. The malignancy percentage of ACR TI-RADS category 1, 2, 3, 4, and 5 were 0%, 1.3%, 9.1%, 52.5%, and 88.8%, respectively. KWAK-TIRADS and ATA guidelines showed a better diagnostic efficiency than ACR TI-RADS (P < 0.01). ACR TI-RADS demonstrated a higher specificity (79.7%, P < 0.05), whereas the ATA US pattern had a higher sensitivity (95.5%, P < 0.01). The TIRADS (KWAK-TIRADS and ACR TI-RADS) category and ATA guidelines performed better in differentiating nodules >1 cm. KWAK-TIRADS showed better diagnostic efficiency than the other methods in differentiating nodules >1 cm (AUC: 0.92, P < 0.01).
CONCLUSIONS: KWAK-TIRADS and ATA guidelines provide a better diagnostic efficiency than ACR TI-RADS. The TIRADS (KWAK-TIRADS and ACR TI-RADS) category and ATA guidelines perform better in differentiating nodules >1 cm than nodules ≤1 cm. KWAK-TIRADS perform better in differentiating nodules >1 cm than other methods.

Entities:  

Keywords:  2015 American Thyroid Association management guideline; Thyroid Imaging Reporting and Data System; Thyroid nodules; Ultrasound

Year:  2019        PMID: 30659427     DOI: 10.1007/s12020-019-01843-x

Source DB:  PubMed          Journal:  Endocrine        ISSN: 1355-008X            Impact factor:   3.633


  18 in total

1.  Characterization of thyroid nodules using the proposed thyroid imaging reporting and data system (TI-RADS).

Authors:  Shih-Ping Cheng; Jie-Jen Lee; Jiun-Lu Lin; Shih-Ming Chuang; Ming-Nan Chien; Chien-Liang Liu
Journal:  Head Neck       Date:  2012-04-19       Impact factor: 3.147

Review 2.  Clinical practice. The thyroid nodule.

Authors:  Laszlo Hegedüs
Journal:  N Engl J Med       Date:  2004-10-21       Impact factor: 91.245

Review 3.  Meta-analysis of thyroid imaging reporting and data system in the ultrasonographic diagnosis of 10,437 thyroid nodules.

Authors:  Xi Wei; Ying Li; Sheng Zhang; Ming Gao
Journal:  Head Neck       Date:  2015-06-16       Impact factor: 3.147

Review 4.  2015 American Thyroid Association Management Guidelines for Adult Patients with Thyroid Nodules and Differentiated Thyroid Cancer: The American Thyroid Association Guidelines Task Force on Thyroid Nodules and Differentiated Thyroid Cancer.

Authors:  Bryan R Haugen; Erik K Alexander; Keith C Bible; Gerard M Doherty; Susan J Mandel; Yuri E Nikiforov; Furio Pacini; Gregory W Randolph; Anna M Sawka; Martin Schlumberger; Kathryn G Schuff; Steven I Sherman; Julie Ann Sosa; David L Steward; R Michael Tuttle; Leonard Wartofsky
Journal:  Thyroid       Date:  2016-01       Impact factor: 6.568

5.  Comparison of Performance Characteristics of American College of Radiology TI-RADS, Korean Society of Thyroid Radiology TIRADS, and American Thyroid Association Guidelines.

Authors:  William D Middleton; Sharlene A Teefey; Carl C Reading; Jill E Langer; Michael D Beland; Margaret M Szabunio; Terry S Desser
Journal:  AJR Am J Roentgenol       Date:  2018-04-09       Impact factor: 3.959

6.  Thyroid imaging reporting and data system for US features of nodules: a step in establishing better stratification of cancer risk.

Authors:  Jin Young Kwak; Kyung Hwa Han; Jung Hyun Yoon; Hee Jung Moon; Eun Ju Son; So Hee Park; Hyun Kyung Jung; Ji Soo Choi; Bo Mi Kim; Eun-Kyung Kim
Journal:  Radiology       Date:  2011-07-19       Impact factor: 11.105

7.  Very high prevalence of thyroid nodules detected by high frequency (13 MHz) ultrasound examination.

Authors:  S Guth; U Theune; J Aberle; A Galach; C M Bamberger
Journal:  Eur J Clin Invest       Date:  2009-08       Impact factor: 4.686

8.  Reducing the Number of Unnecessary Thyroid Biopsies While Improving Diagnostic Accuracy: Toward the "Right" TIRADS.

Authors:  Giorgio Grani; Livia Lamartina; Valeria Ascoli; Daniela Bosco; Marco Biffoni; Laura Giacomelli; Marianna Maranghi; Rosa Falcone; Valeria Ramundo; Vito Cantisani; Sebastiano Filetti; Cosimo Durante
Journal:  J Clin Endocrinol Metab       Date:  2019-01-01       Impact factor: 5.958

9.  Malignancy Risk Stratification of Thyroid Nodules: Comparison between the Thyroid Imaging Reporting and Data System and the 2014 American Thyroid Association Management Guidelines.

Authors:  Jung Hyun Yoon; Hye Sun Lee; Eun-Kyung Kim; Hee Jung Moon; Jin Young Kwak
Journal:  Radiology       Date:  2015-09-08       Impact factor: 11.105

10.  Thyroid nodule sizes influence the diagnostic performance of TIRADS and ultrasound patterns of 2015 ATA guidelines: a multicenter retrospective study.

Authors:  Ting Xu; Jing-Yu Gu; Xin-Hua Ye; Shu-Hang Xu; Yang Wu; Xin-Yu Shao; De-Zhen Liu; Wei-Ping Lu; Fei Hua; Bi-Min Shi; Jun Liang; Lan Xu; Wei Tang; Chao Liu; Xiao-Hong Wu
Journal:  Sci Rep       Date:  2017-02-24       Impact factor: 4.379

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  24 in total

1.  Discordance Between the American Thyroid Association and the American College of Radiology Guideline Systems for Thyroid Nodule Biopsy.

Authors:  Eric Kim; Roshini Pudhucode; Herbert Chen; Brenessa Lindeman
Journal:  J Surg Res       Date:  2020-07-01       Impact factor: 2.192

2.  Sonographic features of follicular variant of papillary thyroid carcinoma (FV-PTC) and diagnostic performance of the 2017 ACR TI-RADS in FV-PTC.

Authors:  Fan Zhang; Wen Chen
Journal:  Endocrine       Date:  2020-01-09       Impact factor: 3.633

3.  A Multidisciplinary Head-to-Head Comparison of American College of Radiology Thyroid Imaging and Reporting Data System and American Thyroid Association Ultrasound Risk Stratification Systems.

Authors:  Bernice L Huang; Susana A Ebner; Jasnit S Makkar; Stuart Bentley-Hibbert; Robert J McConnell; James A Lee; Elizabeth M Hecht; Jennifer H Kuo
Journal:  Oncologist       Date:  2019-11-19

4.  Independent risk factors and feasibility of ultrasound diagnosis of ultrasound-guided non-cytologically diagnostic thyroid nodules.

Authors:  Cheng Jiang; Jiandong Chang; Xiaoyan Chen; Hao Zhang; Meina Xu
Journal:  Gland Surg       Date:  2021-09

5.  Ultrasound-Based Indications for Thyroid Fine-Needle Aspiration: Outcome of a TIRADS-Based Approach versus Operators' Expertise.

Authors:  Tamas Solymosi; Laszlo Hegedüs; Steen Joop Bonnema; Andrea Frasoldati; Laszlo Jambor; Gabor Laszlo Kovacs; Enrico Papini; Karoly Rucz; Gilles Russ; Zsolt Karanyi; Endre V Nagy
Journal:  Eur Thyroid J       Date:  2020-11-25

6.  Assessment of perinodular stiffness in differentiating malignant from benign thyroid nodules.

Authors:  Lei Hu; Xiao Liu; Chong Pei; Li Xie; Nianan He
Journal:  Endocr Connect       Date:  2021-05-10       Impact factor: 3.335

7.  Deep Learning Based on ACR TI-RADS Can Improve the Differential Diagnosis of Thyroid Nodules.

Authors:  Ge-Ge Wu; Wen-Zhi Lv; Rui Yin; Jian-Wei Xu; Yu-Jing Yan; Rui-Xue Chen; Jia-Yu Wang; Bo Zhang; Xin-Wu Cui; Christoph F Dietrich
Journal:  Front Oncol       Date:  2021-04-27       Impact factor: 6.244

8.  The value of neutrophil-to-lymphocyte ratio combined with the thyroid imaging reporting and data system in the diagnosis of the nature of thyroid nodules.

Authors:  Jie Zhang; Zhaoxia Gong; Shanshan Li; Ping Fan; Guanru Yue; Guilin Zou; Shasha He; Jiao Wang; Jixiong Xu
Journal:  J Clin Lab Anal       Date:  2022-04-11       Impact factor: 3.124

9.  Clinical validation of S-DetectTM mode in semi-automated ultrasound classification of thyroid lesions in surgical office.

Authors:  Marcin Barczyński; Małgorzata Stopa-Barczyńska; Beata Wojtczak; Agnieszka Czarniecka; Aleksander Konturek
Journal:  Gland Surg       Date:  2020-02

10.  Is patient age associated with risk of malignancy in a ≥4 cm cytologically benign thyroid nodule?

Authors:  Whitney Sutton; Joseph K Canner; Lisa M Rooper; Jason D Prescott; Martha A Zeiger; Aarti Mathur
Journal:  Am J Surg       Date:  2020-06-02       Impact factor: 2.565

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